{"id":"W2903779322","doi":"10.21606/drs.2018.578","title":"Using Design Competencies to Define Curricula and Support Learners","year":2018,"lang":"en","type":"article","venue":"Proceedings of DRS","topic":"Design Education and Practice","field":"Engineering","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario College of Art and Design; Beef Farmers of Ontario","funders":"","keywords":"Curriculum; Computer science; Set (abstract data type); Core competency; Design elements and principles; Design education; Visualization; Mathematics education; Knowledge management; Software engineering; Psychology; Pedagogy; Artificial intelligence; Programming language","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007666419,0.0005241293,0.000272316,0.002352528,0.001703883,0.006349686,0.001275785,0.001471121,0.00584848],"category_scores_gemma":[0.02022072,0.0002819155,0.0003729449,0.0007478683,0.003555493,0.006724499,0.005788868,0.001780631,0.001076051],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003804624,"about_ca_system_score_gemma":0.008087868,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003393981,"about_ca_topic_score_gemma":0.004019784,"domain_scores_codex":[0.9935534,0.003691482,0.0004101942,0.0005565067,0.001195492,0.0005929138],"domain_scores_gemma":[0.9906603,0.004904717,0.0008432319,0.001216766,0.001460994,0.0009141192],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00002751614,0.0005841157,0.01785953,0.0004938887,0.00002026588,0.0002085591,0.07621905,0.003718503,0.003796117,0.5555764,0.004219791,0.3372762],"study_design_scores_gemma":[0.00007586832,0.0003358512,0.0165239,0.0018909,0.00005397656,0.0007731502,0.1168886,0.01554496,0.01670576,0.3082325,0.5228282,0.0001462708],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.3478138,0.001172342,0.3136955,0.007745652,0.0001670455,0.0007952168,0.0001878449,0.0005857815,0.3278368],"genre_scores_gemma":[0.796296,0.0004376007,0.1865704,0.0005667005,0.00001430824,0.0004884823,0.0001632567,0.0000960835,0.01536718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007666419,"threshold_uncertainty_score":0.04054439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05821866781570666,"score_gpt":0.291650496428274,"score_spread":0.2334318286125673,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}